Balajee Maram

621 total citations
65 papers, 334 citations indexed

About

Balajee Maram is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Balajee Maram has authored 65 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Balajee Maram's work include Brain Tumor Detection and Classification (10 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (8 papers). Balajee Maram is often cited by papers focused on Brain Tumor Detection and Classification (10 papers), Network Security and Intrusion Detection (8 papers) and Advanced Malware Detection Techniques (8 papers). Balajee Maram collaborates with scholars based in India, Nepal and United States. Balajee Maram's co-authors include Gunasekaran Manogaran, BalaAnand Muthu, J. M. Gnanasekar, R. Cristin, Telagarapu Prabhakar, Ching‐Hsien Hsu, Ramanathan Lakshmanan, Sujatha Krishnamoorthy, Tianrong Rao and C. B. Sivaparthipan and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Engineering Applications of Artificial Intelligence.

In The Last Decade

Balajee Maram

50 papers receiving 314 citations

Peers

Balajee Maram
Rita Chhikara India
Khalid Masood Khan Saudi Arabia
Mohemmed Sha Saudi Arabia
Nasmin Jiwani United States
Ketan Gupta United States
Rajesh Sharma R India
Neda Afreen India
Yunlei Sun China
Sapiah Sakri Saudi Arabia
Sheeraz Akram Pakistan
Rita Chhikara India
Balajee Maram
Citations per year, relative to Balajee Maram Balajee Maram (= 1×) peers Rita Chhikara

Countries citing papers authored by Balajee Maram

Since Specialization
Citations

This map shows the geographic impact of Balajee Maram's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Balajee Maram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balajee Maram more than expected).

Fields of papers citing papers by Balajee Maram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Balajee Maram. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Balajee Maram. The network helps show where Balajee Maram may publish in the future.

Co-authorship network of co-authors of Balajee Maram

This figure shows the co-authorship network connecting the top 25 collaborators of Balajee Maram. A scholar is included among the top collaborators of Balajee Maram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Balajee Maram. Balajee Maram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maram, Balajee, et al.. (2025). Fractional gannet humming optimization enabled deep convolutional neural network for detection and segmentation of skin cancer. Neurocomputing. 634. 129816–129816. 1 indexed citations
2.
Kumar, Dheeraj, et al.. (2025). Deep belief parallel forward harmonic network for cardiovascular disease detection using ECG images. The European Physical Journal Plus. 140(11).
3.
Misra, Alok, et al.. (2025). PCAFGNet: Principal component analysis network GoogleNet for spinal cord injury classification. Biomedical Signal Processing and Control. 112. 108451–108451.
4.
Maram, Balajee, et al.. (2025). Hybrid EfficientNet feed forward neural network for ransomware detection in blockchain. Engineering Applications of Artificial Intelligence. 149. 110292–110292. 1 indexed citations
5.
Padmaja, B., et al.. (2025). Blockchain data with Ransomware detection based on deep feed forward Maxout network. Engineering Applications of Artificial Intelligence. 150. 110538–110538.
6.
Maram, Balajee, et al.. (2024). Multispectral and hyperspectral image fusion: a systematic analysis and review with the state of art techniques. International Journal of Bio-Inspired Computation. 23(4). 214–224.
7.
Maram, Balajee, et al.. (2024). Identification of lung cancer using archimedes flow regime optimization enabled deep belief network. Multimedia Tools and Applications. 83(32). 78659–78688. 2 indexed citations
8.
Aggarwal, Alankrita, et al.. (2024). Flood Forecasting with Classical and Quantum Machine Learning Models: A Comparative Analysis. 1–6. 1 indexed citations
9.
Maram, Balajee, et al.. (2024). Enhancing Cryptographic Security through Recurrent Neural Networks. 468–474.
10.
Maram, Balajee, et al.. (2024). M-Net based stacked autoencoder for ransomware detection using blockchain data. Applied Soft Computing. 167. 112460–112460. 1 indexed citations
11.
Maram, Balajee, et al.. (2024). Diabetic retinopathy detection with fundus images based on deep model enabled chronological rat swarm optimization. Multimedia Tools and Applications. 83(30). 75407–75435. 1 indexed citations
12.
13.
Rao, K. Mallikharjuna, et al.. (2023). Autism spectrum disorder classification using Adam war strategy optimization enabled deep belief network. Biomedical Signal Processing and Control. 86. 104914–104914. 11 indexed citations
14.
Maram, Balajee, et al.. (2023). Chronological horse herd optimization-based gene selection with deep learning towards survival prediction using PAN-Cancer gene-expression data. Biomedical Signal Processing and Control. 84. 104696–104696. 4 indexed citations
15.
Maram, Balajee, et al.. (2023). ASCA-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detection. Computers & Security. 128. 103155–103155. 13 indexed citations
16.
17.
Maram, Balajee, et al.. (2023). Chronological pelican remora optimization-enabled deep learning for detection of autism spectrum disorder. Signal Image and Video Processing. 18(1). 515–523. 2 indexed citations
18.
Maram, Balajee, et al.. (2022). Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network. International Journal of Intelligent Systems. 37(9). 6305–6330. 6 indexed citations
19.
Maram, Balajee, et al.. (2022). FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. Journal of Digital Imaging. 35(6). 1463–1478. 4 indexed citations
20.
Maram, Balajee, et al.. (2020). Enhance the Educational Outcome in Higher Educational Institutes through Deep Neural Network. International Journal of Advanced Trends in Computer Science and Engineering. 9(5). 8315–8324. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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